David Kotnik
5e23cbece0
TODAY'S ACCOMPLISHMENTS (01.01.2026): DINO VALLEY GENERATION: ✅ Terrain: 16/16 PNG (100% complete) ✅ Vegetation: 20/20 PNG (100% complete) 🟨 Props: 2/40 PNG (5% started) 📊 Total: 69/212 PNG (33% Dino Valley complete) NEW DOCUMENTATION: ✅ ALL_BIOMES_COMPLETE_BREAKDOWN.md - Complete 21-biome manifest (3,121 PNG total) ✅ GEMINI_WEB_UI_BIOME_PROMPTS.md - Ready-to-use generation prompts ✅ VERTEX_AI_SETUP_GUIDE.md - Step-by-step Vertex AI Imagen setup ✅ SESSION_DNEVNIK_01_01_2026.md - Complete session diary NEW AUTOMATION SCRIPTS: ✅ scripts/generate_all_biomes_complete.py - Intelligent batch generator ✅ scripts/test_vertex_ai_simple.py - Vertex AI test script ✅ scripts/test_imagen.py - Imagen API test ✅ scripts/test_minimal.py - Minimal API test INFRASTRUCTURE: ✅ All 21 biome directories with 10 categories each (210 folders) ✅ Dual art style system (Style A + Style B) fully operational ✅ Green chroma key background standard (#00FF00) COMMITS TODAY: 5 (45 files modified/created) IMAGES GENERATED: 38 PNG (33 new + 5 earlier) TIME SPENT: ~7 hours RATE LIMITING: Major bottleneck identified - Vertex AI is solution NEXT STEPS: 1. Complete Vertex AI setup (gcloud auth) 2. Test image generation via Vertex API 3. Run bulk generation for remaining 3,052 PNG 4. Background removal batch processing 5. Complete all 21 biomes STATUS: Production infrastructure ready, awaiting Vertex AI activation!
77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
#!/usr/bin/env python3
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"""
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VERTEX AI IMAGEN - SIMPLE SETUP
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Using Application Default Credentials (easiest method)
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"""
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import vertexai
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from vertexai.preview.vision_models import ImageGenerationModel
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import os
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from pathlib import Path
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# ========================================
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# CONFIGURATION
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# ========================================
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PROJECT_ID = "gen-lang-client-0428644398" # Your Google Cloud project
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LOCATION = "us-central1" # Imagen location
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# Initialize Vertex AI
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vertexai.init(project=PROJECT_ID, location=LOCATION)
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# ========================================
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# IMAGE GENERATION
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# ========================================
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def generate_image_vertex(prompt, output_path):
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"""Generate image using Vertex AI Imagen"""
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print(f"🎨 Generating: {output_path.name}")
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print(f"📝 Prompt: {prompt[:80]}...")
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try:
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# Load the model
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model = ImageGenerationModel.from_pretrained("imagegeneration@006")
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# Generate image
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response = model.generate_images(
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prompt=prompt,
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number_of_images=1,
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aspect_ratio="1:1",
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safety_filter_level="block_some",
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person_generation="allow_adult"
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)
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# Save image
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output_path.parent.mkdir(parents=True, exist_ok=True)
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response.images[0].save(location=str(output_path))
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print(f"✅ Saved: {output_path}")
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return True
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except Exception as e:
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print(f"❌ Error: {e}")
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return False
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# ========================================
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# EXAMPLE USAGE
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# ========================================
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if __name__ == "__main__":
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# Test generation
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test_prompt = "2D game prop, cartoon vector art with bold black outlines, flat vibrant colors. Asset: DINOSAUR SKULL with teeth. Background: SOLID BRIGHT GREEN (#00FF00)"
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test_output = Path("test_vertex_output.png")
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print("="*60)
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print("🦖 VERTEX AI IMAGEN - TEST")
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print("="*60)
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success = generate_image_vertex(test_prompt, test_output)
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if success:
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print("\n✅ SUCCESS! Vertex AI is working!")
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print(f"📁 Check: {test_output}")
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else:
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print("\n❌ FAILED! Check credentials.")
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